sync: UI animations, select styling, TLS verify flag via proxy second line, brand spacing

agentui/pipeline/storage.py

@@ -11,17 +11,93 @@ PRESETS_DIR = Path("presets")
 VARS_DIR = Path(".agentui") / "vars"
 
 
+# DRY нормализация meta/пайплайна: единый источник дефолтов и типов
+def normalize_pipeline(pipeline: Dict[str, Any]) -> Dict[str, Any]:
+   """
+   Приводит верхнеуровневые ключи пайплайна к согласованному виду, заполняет дефолты.
+   Безопасно к отсутствующим ключам и неверным типам.
+   """
+   if not isinstance(pipeline, dict):
+       pipeline = {}
+   out: Dict[str, Any] = dict(pipeline)
+
+   def _to_int(v, d):
+       try:
+           n = int(v)
+           return n if n > 0 else d
+       except Exception:
+           return d
+
+   def _to_float(v, d):
+       try:
+           n = float(v)
+           return n if n > 0 else d
+       except Exception:
+           return d
+
+   # Базовые поля
+   out["id"] = str(out.get("id") or "pipeline_editor")
+   out["name"] = str(out.get("name") or "Edited Pipeline")
+   out["parallel_limit"] = _to_int(out.get("parallel_limit"), 8)
+   out["loop_mode"] = str(out.get("loop_mode") or "dag")
+   out["loop_max_iters"] = _to_int(out.get("loop_max_iters"), 1000)
+   out["loop_time_budget_ms"] = _to_int(out.get("loop_time_budget_ms"), 10000)
+   out["clear_var_store"] = bool(out.get("clear_var_store", True))
+   out["http_timeout_sec"] = _to_float(out.get("http_timeout_sec"), 60)
+
+   # Глобальные опции извлечения текста для [[OUTx]]
+   out["text_extract_strategy"] = str(out.get("text_extract_strategy") or "auto")
+   out["text_extract_json_path"] = str(out.get("text_extract_json_path") or "")
+   # Поддержка разных написаний text_join_sep
+   join_sep = out.get("text_join_sep")
+   if join_sep is None:
+       for k in list(out.keys()):
+           if isinstance(k, str) and k.lower() == "text_join_sep":
+               join_sep = out.get(k)
+               break
+   out["text_join_sep"] = str(join_sep or "\n")
+
+   # Пресеты парсинга
+   presets = out.get("text_extract_presets")
+   norm_presets: List[Dict[str, Any]] = []
+   if isinstance(presets, list):
+       for i, it in enumerate(presets):
+           if not isinstance(it, dict):
+               continue
+           norm_presets.append({
+               "id": str(it.get("id") or f"p{i}"),
+               "name": str(it.get("name") or it.get("json_path") or "Preset"),
+               "strategy": str(it.get("strategy") or "auto"),
+               "json_path": str(it.get("json_path") or ""),
+               "join_sep": str(it.get("join_sep") or "\n"),
+           })
+   out["text_extract_presets"] = norm_presets
+
+   # Узлы — список
+   try:
+       nodes = out.get("nodes") or []
+       if not isinstance(nodes, list):
+           nodes = []
+       out["nodes"] = nodes
+   except Exception:
+       out["nodes"] = []
+
+   return out
+
+
 def load_pipeline() -> Dict[str, Any]:
-    if PIPELINE_FILE.exists():
-        try:
-            return json.loads(PIPELINE_FILE.read_text(encoding="utf-8"))
-        except Exception:
-            pass
-    return default_pipeline()
+   if PIPELINE_FILE.exists():
+       try:
+           data = json.loads(PIPELINE_FILE.read_text(encoding="utf-8"))
+           return normalize_pipeline(data)
+       except Exception:
+           pass
+   return normalize_pipeline(default_pipeline())
 
 
 def save_pipeline(pipeline: Dict[str, Any]) -> None:
-    PIPELINE_FILE.write_text(json.dumps(pipeline, ensure_ascii=False, indent=2), encoding="utf-8")
+    norm = normalize_pipeline(pipeline or {})
+    PIPELINE_FILE.write_text(json.dumps(norm, ensure_ascii=False, indent=2), encoding="utf-8")
 
 
 def list_presets() -> List[str]: